Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ashok Kumar Patil"'
Autor:
Jaeyeong Ryu, Ashok Kumar Patil, Bharatesh Chakravarthi, Adithya Balasubramanyam, Soungsill Park, Youngho Chai
Publikováno v:
IEEE Access, Vol 10, Pp 9645-9657 (2022)
Human action recognition (HAR) technology is receiving considerable attention in the field of human-computer interaction. We present a HAR system that works stably in real-world applications. In real-world applications, the HAR system needs to identi
Externí odkaz:
https://doaj.org/article/b4a32062e042468983884ffc26528123
Autor:
Bharatesh Chakravarthi, Ashok Kumar Patil, Jae Yeong Ryu, Adithya Balasubramanyam, Young Ho Chai
Publikováno v:
IEEE Access, Vol 10, Pp 28295-28307 (2022)
Synthesizing realistic human motion data using a real-time motion capture system in a controlled environment is a critical challenge. In addition, effectively manipulating the existing motion data is another primary concern and using such modified da
Externí odkaz:
https://doaj.org/article/655309c720c8434db112c8ce6e26442c
Autor:
Ashok Kumar Patil, Adithya Balasubramanyam, Jae Yeong Ryu, Bharatesh Chakravarthi, Young Ho Chai
Publikováno v:
Sensors, Vol 21, Iss 7, p 2340 (2021)
Human pose estimation and tracking in real-time from multi-sensor systems is essential for many applications. Combining multiple heterogeneous sensors increases opportunities to improve human motion tracking. Using only a single sensor type, e.g., in
Externí odkaz:
https://doaj.org/article/1f7b7aa1e1724231bc50a542740534c3
Autor:
Adithya Balasubramanyam, Ashok Kumar Patil, Bharatesh Chakravarthi, Jae Yeong Ryu, Young Ho Chai
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6462 (2020)
Understanding and differentiating subtle human motion over time as sequential data is challenging. We propose Motion-sphere, which is a novel trajectory-based visualization technique, to represent human motion on a unit sphere. Motion-sphere adopts a
Externí odkaz:
https://doaj.org/article/33f2b73203c84519bcd902371c5141ae
Autor:
Ashok Kumar Patil, Adithya Balasubramanyam, Jae Yeong Ryu, Pavan Kumar B N, Bharatesh Chakravarthi, Young Ho Chai
Publikováno v:
Sensors, Vol 20, Iss 18, p 5342 (2020)
Today, enhancement in sensing technology enables the use of multiple sensors to track human motion/activity precisely. Tracking human motion has various applications, such as fitness training, healthcare, rehabilitation, human-computer interaction, v
Externí odkaz:
https://doaj.org/article/c034f64102014b1e81bc9357df7d9c74
Publikováno v:
Applied Sciences, Vol 10, Iss 5, p 1668 (2020)
Over the years, gaze input modality has been an easy and demanding human−computer interaction (HCI) method for various applications. The research of gaze-based interactive applications has advanced considerably, as HCIs are no longer constrained to
Externí odkaz:
https://doaj.org/article/3e370d46f8c94d649278707485120b2e
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
Acquiring the three-dimensional point cloud data of a scene using a laser scanner and the alignment of the point cloud data within a real-time video environment view of a camera is a very new concept and is an efficient method for constructing, monit
Externí odkaz:
https://doaj.org/article/89574051dcf4451fb782c8663d765d0e
Publikováno v:
Symmetry, Vol 11, Iss 10, p 1325 (2019)
Augmented reality (AR) systems are becoming next-generation technologies to intelligently visualize the real world in 3D. This research proposes a sensor fusion based pipeline inspection and retrofitting for the AR system, which can be used in pipeli
Externí odkaz:
https://doaj.org/article/93dc6c89288b4f6d832327e80b93f0ee
Publikováno v:
Sensors, Vol 19, Iss 18, p 3908 (2019)
Acquisition of 3D point cloud data (PCD) using a laser scanner and aligning it with a video frame is a new approach that is efficient for retrofitting comprehensive objects in heavy pipeline industrial facilities. This work contributes a generic fram
Externí odkaz:
https://doaj.org/article/02586a04417c44948bd2bfd888924218
Publikováno v:
Symmetry, Vol 11, Iss 1, p 101 (2019)
Human eyeballs move relative to the head, resulting in optimal changes in the viewpoint. We tested similar vestibular ocular reflex (VOR)-based movement on Zenmuse-X3 gimbal camera relative to pre-defined YAW movements of the DJI Matrice-100 unmanned
Externí odkaz:
https://doaj.org/article/20976a5074f1467eb121d6527f4cde91